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Sustainability 2016, 8(11), 1208; doi:10.3390/su8111208

A Spatial Analytic Hierarchy Process for Identification of Water Pollution with GIS Software in an Eco-Economy Environment

1
Faculty of Economic Science, University “Lucian Blaga” of Sibiu, 10 Victoriei Bd., Sibiu 550024, Romania
2
Faculty of Engineering, University “Lucian Blaga” of Sibiu, 10 Victoriei Bd., Sibiu 550024, Romania
*
Author to whom correspondence should be addressed.
Academic Editors: Alexandru Ozunu and Dacinia Crina Petrescu
Received: 13 September 2016 / Revised: 22 October 2016 / Accepted: 10 November 2016 / Published: 23 November 2016
(This article belongs to the Special Issue Resilience to Natural and Man-Made Disasters)

Abstract

Water pollution has become a global problem and its impact on the health of the human population is growing day by day. This study aims to assess the pollution of the Cibin River (Romania) by a physicochemical analysis. Water samples have been collected from four locations along the Cibin River over a period of 12 months. At this time, there are several commonly used Multiple-Criteria Decision Analysis (MCDA) methods for the assessing the impact of pollutants on the environment. In this research, we used the Analytic Hierarchy Process (AHP) multi-criteria method to evaluate each sampling station’s physicochemical parameters. The significant results place the river in the first (sampling stations 1, 2 and 3) and second (sampling stations 4) water quality classes. Another significant result of this work is that the research using GIS software allowed an integrated automatic data collection system and displays interactive results. View Full-Text
Keywords: environment; pollution; GIS; multi-criteria; method environment; pollution; GIS; multi-criteria; method
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Serbu, R.; Marza, B.; Borza, S. A Spatial Analytic Hierarchy Process for Identification of Water Pollution with GIS Software in an Eco-Economy Environment. Sustainability 2016, 8, 1208.

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